基于现场总线技术的成品油库自动化管理控制系统

主要阐述了基于现场总线技术的油库自动化管理控制系统的设计，针对目前成品油库发展的现状在自动化管理方面做出了详细的控制系统介绍．实现油库控制系统的功能先进．安全可靠及易于管理。     

广播电视发射台技术指标集中自动测试系统

本文介绍了利用计算机技术、网络技术、三遥技术对广播电视发射技术指标进行实时自动测试的系统，以便进一步为安全优质播出提供技术保证。     

Integrated distributed intelligent system for process-control system design

In process-control system design, the Computer Aided Design (CAD) techniques have evolved a new generation of design techniques. This also paves the way for implementing Computer Integrated Manufacturing Systems (CIMS). However, the key issue to accomplishing the objectives in CAD is the automation of conceptual design. This paper first introduces the fundamentals of conceptual design for process-control system design. Then, a strategy to solve the problems in conceptual design is proposed. The associated system configuration and software implementation platform for developing intelligent systems for process control system design are presented. Finally, an application case is studied.     

高扬程泵站综合自动化系统方案和技术要求

针对当前我省泵站改造中在自动化系统的设计方案、功能要求、软硬件方面存在的不足，在总结我省大禹渡二级站泵站自动化系统的基础上，根据高扬程泵站的特点要求，结合国际计算机最新技术和我国工业控制领域已经成熟的自动化系统结构方案，提出了高扬程泵站综合自动化系统的结构方案和技术标准要求，希望促进我省泵站自动化系统改造的规范化和标准化。     

Oracle 9i Data Guard技术在水调自动化系统中的应用与实施

水调自动化系统是电网运行的重要生产系统,该系统对数据库备份、数据完整性、实时性和并发访问能力等都提出了较高的要求,如何科学地应用商用数据库提供的高级功能构建稳定、可靠、高效的水调自动化系统,成为一个新课题.文中针对该问题,分析比较了多种常见的高可用数据库方案,最终选择应用Oracle Data Guard技术,构建高性能、高可用、低成本、易维护的水调自动化系统.     

石化行业自动化控制仪表常见故障分析及其处理

介绍化工生产过程中仪表故障及其处理措施。     

浅议VHDL语言在电子设计自动化中的应用

随着电子技术和计算机技术的迅速发展,电子设计也变得越来越复杂,并朝着自动化方向发展,且运用语言进行电子设计成为了一种趋势,有效地缩短了开发的周期及效率,其中VHDL语言就是电子设计中常用的一种语言。本文就VHDL语言在电子设计自动化中的应用进行了分析讨论。     

基于Visual Studio.Net学习用品管理信息系统的设计

学习用品管理信息系统可以实现对学习用品的入库、领用和维护的规范化管理,提高工作效率,避免资源浪费.此系统结合高校学习用品采购与分发的实际现状,利用Visual Studio.Net作前端开发工具,SQL Server 2005为后台数据库,实现完善的输入,统计,打印和查询等功能.     

计算机信息处理技术在OA中的应用

着重从计算机信息处理技术的进步给办公自动化带来的影响,以及其在办公自动化中的广泛应用进行相关的阐述。     

LearningADD: Machine learning based acoustic defect detection in factory automation

Defect inspection of glass bottles in the beverage industrial is of significance to prevent unexpected losses caused by the damage of bottles during manufacturing and transporting. The commonly used manual methods suffer from inefficiency, excessive space consumption, and beverage wastes after filling. To replace the manual operations in the pre-filling detection with improved efficiency and reduced costs, this paper proposes a machine learning based Acoustic Defect Detection (LearningADD) system. Moreover, to realize scalable deployment on edge and cloud computing platforms, deployment strategies especially partitioning and allocation of functionalities need to be compared and optimized under realistic constraints such as latency, complexity, and capacity of the platforms. In particular, to distinguish the defects in glass bottles efficiently, the improved Hilbert-Huang transform (HHT) is employed to extend the extracted feature sets, and then Shuffled Frog Leaping Algorithm (SFLA) based feature selection is applied to optimize the feature sets. Five deployment strategies are quantitatively compared to optimize real-time performances based on the constraints measured from a real edge and cloud environment. The LearningADD algorithms are validated by the datasets from a real-life beverage factory, and the F-measure of the system reaches 98.48 %. The proposed deployment strategies are verified by experiments on private cloud platforms, which shows that the Distributed Heavy Edge deployment outperforms other strategies, benefited from the parallel computing and edge computing, where the Defect Detection Time for one bottle is less than 2.061 s in 99 % probability.